Amazon Adjusts Broad Match Sellers Report ACOS Spikes

Amazon's broad match rule changes in advertising potentially impact seller ACOS. This article analyzes the differences between the old and new rules, reveals the impact, and provides strategies such as negative keywords, optimized keyword structure, and effective use of modifiers. It also explores Amazon's traffic challenges and future prospects, emphasizing the need for sellers to embrace change and strive for excellence. Sellers need to adapt to the changes to maintain and improve their ACOS in the long run.
Amazon Adjusts Broad Match Sellers Report ACOS Spikes

The advertising bidding environment on Amazon has become increasingly competitive, with sellers now engaged in fierce battles over keywords. Recent significant adjustments to the broad match logic in Amazon's Sponsored Products (SP) ads have introduced new challenges for sellers. To better navigate these changes, this article delves into the differences between the old and new matching rules, examines their potential impact, and provides actionable strategies for sellers.

The Evolution of Broad Match: From "A+B" to "A+C/B+C"

Previously, broad match operated on a straightforward principle. If a seller targeted a keyword structured as "A+B," the ad would only trigger when a buyer's search query contained both root words A and B. However, the new broad match rules have removed this restriction, allowing ads to be triggered by search queries containing partial root combinations like A+C or B+C. This means ads may now appear for searches that include only parts of the targeted keyword.

For example, if a seller targets the keyword "straw-free sports water bottle," the old rules required buyer searches to include both "straw-free" and "sports water bottle" to trigger the ad. Under the new rules, searches like "straw water bottle" or "sports straw" could also display the ad. While this expands ad reach, it simultaneously increases the risk of less relevant traffic.

Impact on Sellers: Surging Negative Keyword Workload and Rising ACOS Pressure

The changes to broad match rules directly affect sellers' advertising strategies in two primary ways:

  1. Increased Negative Keyword Workload
    With unchanged budgets and keyword quantities, sellers must now dedicate more time and effort to excluding irrelevant keywords. Where previously they only needed to negate variations containing the complete keyword, they must now account for all possible root combinations. Managing multiple broad match keywords can exponentially increase the number of terms requiring monitoring and negation, creating significant operational pressure.
  2. Rising ACOS Risk
    ACOS (Advertising Cost of Sale), a crucial metric for measuring ad effectiveness, becomes vulnerable to inflation when traffic relevance declines. Ads may now reach potential customers with little interest in the product, leading to lower click-through and conversion rates. While impressions might increase, sales may not follow proportionally, causing ACOS to rise.

Case Study: Understanding ACOS Inflation

Consider a seller offering premium coffee beans who uses "Arabica coffee beans" as a broad match keyword. Previously, ads might only appear for searches like "Arabica coffee beans" or "premium Arabica coffee beans." Under the new rules, searches for just "Arabica" or "coffee beans" could also trigger the ad. If these searchers prioritize affordability over quality or seek instant coffee instead, they're unlikely to convert, driving up ACOS as ad spend increases without corresponding sales growth.

Strategic Responses: Precision is Paramount

To adapt to Amazon's broad match changes, sellers should implement these refined operational strategies:

  • Enhance Negative Keyword Practices
    Regularly review ad reports to identify and exclude irrelevant search terms. Utilize Amazon's search term report tool or third-party ad management software for efficiency. Consider employing broad match negative keywords to simultaneously exclude multiple low-relevance terms.
  • Optimize Keyword Structure
    Reevaluate keyword selection, prioritizing precision over breadth. Leverage research tools to identify high-search, low-competition terms. Long-tail keywords (multi-word phrases) can significantly improve targeting accuracy.
  • Utilize the "+" Modifier
    Amazon's "+" modifier locks keyword roots. For example, "+power +bank" ensures ads only appear for searches containing both "power" and "bank," enhancing relevance.
  • Reassess Automatic Campaigns
    Given broad match's decreased precision, consider reallocating budget to automatic campaigns where Amazon's algorithm handles matching, often yielding more relevant traffic. However, these still require regular optimization, including ASIN and keyword exclusions.
  • Improve Listing Quality
    High-quality listings form the foundation for strong ad conversion. Ensure titles, bullet points, and descriptions incorporate relevant keywords while clearly communicating product benefits. Superior images also boost appeal. Optimized listings not only improve ad performance but also enhance organic ranking.
  • Monitor Competitor Strategies
    Analyze competitors' keyword choices, bids, and creatives using specialized tools. This competitive intelligence can reveal new opportunities and inform strategic adjustments.

Amazon's Traffic Challenges and Future Directions

These matching rule adjustments reflect Amazon's intensifying traffic competition. As more sellers join the platform, traffic resources grow scarcer - akin to diners competing for the last prime cut at a crowded barbecue. Only the most capable, strategic sellers will secure valuable visibility. Amazon must explore new traffic sources or refine allocation mechanisms to meet seller demands.

Long-term solutions may include:

  • New Ad Formats
    Beyond existing SP, SB, and SD ads, Amazon might introduce video, audio, or interactive ads to capture user attention.
  • Algorithm Enhancements
    Advanced machine learning could improve ad precision by predicting user needs based on search history, purchases, and browsing behavior.
  • Product Quality Incentives
    Amazon may emphasize product excellence, rewarding sellers who deliver superior goods and services that satisfy customers and improve organic rankings.
  • Stricter Ad Policy Enforcement
    Crackdowns on false reviews, misleading discounts, and deceptive advertising could maintain platform integrity and consumer trust.

Conclusion: Adapting to Maintain Competitive Edge

Constant evolution defines Amazon's advertising landscape. Sellers must remain vigilant, ready to refine strategies as rules change. By embracing precision-focused approaches to counter broad match modifications - through meticulous negative keyword management, optimized targeting, and listing enhancements - sellers can control ACOS, maximize profitability, and outperform competitors. In Amazon's arena, sustained success belongs to those who master adaptation and continuous improvement.